Listar por tema "semantics"
Mostrando ítems 1-14 de 14
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A Semantic Cognition Contribution to Mood and Anxiety Disorder Pathophysiology
MDPI (2023)Over the last two decades, the functional role of the bilateral anterior temporal lobes (bATLs) has been receiving more attention. They have been associated with semantics and social concept processing, and are regarded ... -
Deep Hashing Based on Class-Discriminated Neighborhood Embedding
Institute of Electrical and Electronics Engineers (2020-09-30)Deep-hashing methods have drawn significant attention during the past years in the field of remote sensing (RS) owing to their prominent capabilities for capturing the semantics from complex RS scenes and generating the ... -
Deep Unsupervised Embedding for Remotely Sensed Images Based on Spatially Augmented Momentum Contrast
IEEE (2020-07-14)Convolutional neural networks (CNNs) have achieved great success when characterizing remote sensing (RS) images. However, the lack of sufficient annotated data (together with the high complexity of the RS image domain) ... -
Going beyond inferior prefrontal involvement in semantic control: Evidence for the additional contribution of dorsal angular gyrus and posterior middle temporal cortex
The MIT Press (2013-09)Semantic cognition requires a combination of semantic representations and executive control processes to direct activation in a task- and time-appropriate fashion [Jefferies, E., & Lambon Ralph, M. A. Semantic impairment ... -
Graph Relation Network: Modeling Relations Between Scenes for Multilabel Remote-Sensing Image Classification and Retrieval
IEEE (2020-08-21)Due to the proliferation of large-scale remote-sensing (RS) archives with multiple annotations, multilabel RS scene classification and retrieval are becoming increasingly popular. Although some recent deep learning-based ... -
Noise-Tolerant Deep Neighborhood Embedding for Remotely Sensed Images With Label Noise
IEEE (2021-02-02)Recently, many deep learning-based methods have been developed for solving remote sensing (RS) scene classification or retrieval tasks. Most of the adopted loss functions for training these models require accurate annotations. ... -
La percepción social de la homeopatía en la prensa digital española: un análisis semántico
Tremédica. Asociación Internacional de Traductores y Redactores de Medicina y Ciencias Afines (2018)El objetivo de este estudio es analizar el tratamiento que realiza la prensa digital española sobre la homeopatía y deducir los atributos vinculados a esta práctica. Se ha desarrollado un análisis del corpus lingüístico ... -
PiCoCo: Pixelwise Contrast and Consistency Learning for Semisupervised Building Footprint Segmentation
IEEE (2021-10-11)Building footprint segmentation from high-resolution remote sensing (RS) images plays a vital role in urban planning, disaster response, and population density estimation. Convolutional neural networks (CNNs) have been ... -
Pragmática y semántica: cortesía y mapas conceptuales. Una propuesta de complementariedad
Universitat Jaume I amb el suport del Servei de Comunicació i Publicacions (2022)El presente trabajo tiene como principal objetivo reflexionar sobre la relación existente entre la semántica y la pragmática y cómo esta influye en la didáctica de lenguas extranjeras. Desde una perspectiva semántica, ... -
Robust Normalized Softmax Loss for Deep Metric Learning-Based Characterization of Remote Sensing Images With Label Noise
Institute of Electrical and Electronics Engineers (2020-12-16)Most deep metric learning-based image characterization methods exploit supervised information to model the semantic relations among the remote sensing (RS) scenes. Nonetheless, the unprecedented availability of large-scale ... -
Rotation-Invariant Deep Embedding for Remote Sensing Images
Institute of Electrical and Electronics Engineers (2021-06-28)Endowing convolutional neural networks (CNNs) with the rotation-invariant capability is important for characterizing the semantic contents of remote sensing (RS) images since they do not have typical orientations. Most of ... -
Semantic-based approach for the discovery of Life Sciences web resources driven by rich user's requirements
Copyright ©2015 IOS Press (2014-11-06)In recent years, the number of resources available on the Web has increased quickly. In Life Sciences, researchers are publishing their research results on the Web as web resources with the aim of collaborating with other ... -
Students’ Perception of the Effect of Formative Assessment on Their Learning
Institute of Electrical and Electronics Engineers (2021-08)In this paper, we analyse students’ perception of their formative assessment in a Databases course. Two forms of feedback are analysed: interactive questionnaires during class time and self-assessment of lab practices. ... -
Unsupervised Remote Sensing Image Retrieval Using Probabilistic Latent Semantic Hashing
Institute of Electrical and Electronics Engineers (2020-02-06)Unsupervised hashing methods have attracted considerable attention in large-scale remote sensing (RS) image retrieval, due to their capability for massive data processing with significantly reduced storage and computation. ...